Autonomous online path planning and path-following control for complete coverage maneuvering of a USV [PDF]
, 2019 Manøvrering med full dekning krever planlegging og følging av en bane slik at en observasjonssensor eller robotdel dekker hele arbeidsområdet. Utformingen av baner med full dekning er et viktig problem ved kartlegging av havbunnen og mange andre ...
Lenes, Jan Henrik
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Complete Coverage Path Planning: approcci basati su Deep Reinforcement Learning
Il problema del Complete Coverage Path Planning (CCPP) rappresenta una delle sfide fondamentali della robotica mobile, in quanto consiste nel determinare un percorso che consenta a un robot di visitare in maniera sistematica l’intera area di lavoro. Tale
BENEDETTI, LORENZO
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Multi-Robot Complete Coverage Using Directional Constraints
, 2018 Complete coverage relies on a path planning algorithm that will move one or more robots, including the actuator, sensor, or body of the robot, over the entire environment. Complete coverage of an unknown environment is used in applications like automated
Malan, Stefanus
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M-ANCHORO: Mobile Anchor Node-Based Path Optimization for Full Coverage Path Planning Algorithm
Localization is a key technology in wireless sensor network (WSN) applications. The use of mobile anchor nodes (MANs) to assist in sensor localization is a feasible solution for reducing deployment costs and overcoming geographical limitations.
Yicong Yu +8 more
core +1 more source
Online Concurrent Multi-Robot Coverage Path Planning
Recently, centralized receding horizon online multi-robot coverage path planning algorithms have shown remarkable scalability in thoroughly exploring large, complex, unknown workspaces with many robots.
Saha, Indranil, Mitra, Ratijit
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Planning Paths of Complete Coverage of an Unstructured Environment by a Mobile Robot
, 1993 Much of the focus of the research effort in path planning for mobile robots has centred on the problem of finding a path from a start location to a goal location, while minimising one or more parameters such as length of path, energy consumption or ...
J. C. Byrne +3 more
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Coverage path planning considering the cell number and starting position
The coverage tasks of mobile robots are evolving towards large-scale and intelligent directions, demanding urgent requirements for the coverage efficiency and environmental adaptability of coverage path planning. To address the inadequate adaptability of
HUANG Sirong +4 more
core +1 more source
A Complete Coverage Path Planning Algorithm for Lawn Mowing Robots Based on Deep Reinforcement Learning. [PDF]
Sensors (Basel)Chen Y, Lu ZM, Cui JL, Luo H, Zheng YM.
europepmc +1 more source
Genetic algorithm-based coverage path planning for autonomous aircraft cabin cleaning by reconfigurable robot. [PDF]
PLoS OneDinh CH +5 more
europepmc +1 more source